National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

SPG Resourcing
Leeds
4 days ago
Create job alert

Job Title:Data Scientist

Job Type:Permanent

Location:York or Manchester (UK)


About the Role

This role offers the opportunity to work across diverse business areas, building machine learning and statistical solutions that drive real business value. You'll join a cross-functional team of data scientists, engineers, and analysts using agile methods. As a Data Scientist, you will work closely with stakeholders to deliver models and insights related to pricing, decision-making, policy management, and more. You'll be expected to both build models and communicate their value clearly to the business.


Key Responsibilities

  • Apply the full data science lifecycle: from problem design to model deployment and monitoring.
  • Build production-grade machine learning models and manage their lifecycle (monitoring, retraining, etc.).
  • Analyse diverse datasets (internal and 3rd party), applying statistical and machine learning methods.
  • Collaborate with pricing teams, data engineers, and business units to deliver value.
  • Write high-quality Python code following best practices.
  • Continuously research and apply new tools, techniques, and technologies.


Experience with:

Cloud deployment,Neural networks and libraries like TensorFlow, XGBoost, CatBoost, SKlearn, API development, SQL,CI/CD, DevOps, or MLOps pipelines


Experience with:

  • Strong hands-on experience or genuine interest in data science and analytics.
  • Proficiency in Python and familiarity with testing frameworks (e.g., pytest).
  • Ability to work both independently and in collaborative teams.
  • Understanding of machine learning applications to business problems.
  • Strong communication and presentation skills.
  • Experience with version control and software development practices.

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - £80,000 - Hybrid - London

Data Scientist - Biomarkers - Remote - Outside IR35

Data Science Placement Programme

Data Science Placement Programme

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.